Live stream or later video post will be useful. On Wed, Jun 24, 2015 at 1:41 PM, Scott C. Cote <[email protected]> wrote:
> Would one of yawl live stream the event (periscope) or if you have a > prepared url - I can post the url of the stream to the DFW Data Science > user group. > > SCott > Scott C. Cote > [email protected] > 972.672.6484 > > > > On Jun 23, 2015, at 9:06 PM, Eugene <[email protected]> wrote: > > Please check this event in New York - > > Spotify’s Music Recommendations Lambda Architecture > <http://www.meetup.com/New-York-City-Storm-User-Group/events/223407344/> > > organized by New York Storm User Group. > Date: Monday, July 13. Place: Spotfy HQ in New York. > Space are limited, please register. > > Abstract: > At Spotify, one of the ways we surface personalized music recommendations > to users is via the Discover page. The recommendations are powered by > training large scale Matrix Factorization models on user listening history. > Batch hadoop jobs run daily to build latent vectors for users, tracks, > artists and albums. > > However, this setup doesn’t incorporate intra-day listening history. > Furthermore, new users that log into Spotify and stream music will not > receive recommendations until their second day using the application. To > solve the problem, we leverage Storm and process user listens in real-time; > this allows us to surface recommendations to new users as soon as they > start listening to songs on Spotify. We shall discuss our framework, how we > use Storm and challenges we faced building this system. > > Thanks > -- > Eugene Dvorkin > Organizer > New York City Apache Storm User Group > <http://www.meetup.com/New-York-City-Storm-User-Group/> > > > > -- *Aniket Alhat*
